Lognormal 
The LognormalDistribution type exposes the following members.
Name  Description  

LognormalDistribution  Default constructor. Constructs a LognormalDistribution distribution whose logarithm have mean 0 and standard deviation 1.  
LognormalDistribution(Double, Double)  Creates a LognormalDistribution instance whose associated normal distrubution has the specified mean and standard deviation. That is, the logarithm of the distribution will have the specified mean and standard deviation. 
Name  Description  

Kurtosis  Gets the kurtosis, a measure of the degree of peakednesss of the distribution.  
Mean  Gets the mean of the distribution.  
Mu  Gets and sets the mean of the logarithm of self which, by definition, is normally distributed.  
Sigma  Gets and sets the standard deviation of the logarithm of self which, by definition, is normally distributed.  
Skewness  Gets the skewness, a measure of the degree of asymmetry of this distribution.  
Variance 
Gets the variance of the distribution.
Remarks The variance of the distribution is the standard deviation squared.

Name  Description  

CDF 
Returns the cumulative density function evaluated at a given value.
(Overrides ProbabilityDistributionCDF(Double))  
Clone 
Creates a deep copy of this LognormalDistribution.
(Overrides ProbabilityDistributionClone)  
InverseCDF 
Returns the inverse cumulative density function evaluated a the given value.
(Overrides ProbabilityDistributionInverseCDF(Double))  
InverseCdfUsingBracket 
Uses a bracketing method to evaluate the inverse of cumulative
distribution functions.
(Inherited from ProbabilityDistribution)  
InverseDiscreteCdfUsingBracket 
Uses a bracketing method to evaluate the inverse of cumulative
distribution functions for discrete distributions.
(Inherited from ProbabilityDistribution)  
OnDeserialized  Constructs a LognormalDistribution instance from serialization information.  
Returns the probability density function evaluated at a given value.
(Overrides ProbabilityDistributionPDF(Double))  
SetParameters  Sets the mean and standard deviation of the logarithm of self (which is normally distributed) to the specified values.  
ToString 
Returns a formatted string representation of this distribution.
(Overrides ProbabilityDistributionToString) 